从工业物联网在智能制造中的应用场景进行分析,利用Histcite、VOSviewer等工具处理从Web of Science数据库中检索的论文数据,incoPat数据库则用于专利数据的检索,从论文、专利两个维度分析 2018-2023 年数据,分别探讨当前工业物联网前沿技术研究和应用分布与发展趋势.同时剖析国内外工业物联网的布局特征,针对工业物联网技术面临的挑战和发展趋势,提出聚焦基础难点、深耕理论研究、推进技术落地等建议,以期为工业物联网发展及技术应用提供指导及帮助.
Identification and Outlook of Frontline Technologies in Industrial Internet of Things for Intelligent Manufacturing
In this study,we analyze the application scenarios of the IIoT in intelligent manufacturing.Leveraging tools such as Histcite and VOS viewer to process the article data retrieved from Web of Science and utilizing Incopat database for patent data retrieval,the analysis spans the years 2018 to 2023.The study explores the current frontline technologies of IIoT from both the perspectives of research papers and patents.The current frontier of research and application distribution,as well as the development trends of IIoT,are examined separately.Simultaneously,the layout characteristics of IIoT both domestically and internationally are analyzed.This study addresses the challenges and development trends faced by IIoT technologies,proposing recommendations that focus on fundamental difficulties,deepen theoretical research,and promote technology implementation.It is hoped that this research provides guidance and assistance for the development and application of IIoT technologies.
industrial internet of thingsfrontline technologiesintelligent manufacturingsensors
NETL
NSTL
万方数据
